Instructions to use 11Anupam/Demo_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 11Anupam/Demo_2 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("translation", model="11Anupam/Demo_2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("11Anupam/Demo_2") model = AutoModelForSeq2SeqLM.from_pretrained("11Anupam/Demo_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from 11Anupam/Demo_2: direct link, hf CLI and curl.
- Browser
- Download file 312 MB
-
https://huggingface.co/11Anupam/Demo_2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://11Anupam/Demo_2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/11Anupam/Demo_2/resolve/main/pytorch_model.bin
312 MB
- Xet hash:
- 54d16ac928d4d0f4e5d066af3b2ffae7865930535a4708c0d239b894a2326805
- Size of remote file:
- 312 MB
- SHA256:
- 4b2209fbd0c58a05e9c4b818b49b6b7e54406cdee93acdccf840752a94fe34f4
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